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ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

License: BSD 3-Clause "New" or "Revised" License

Python 98.68% Shell 1.32%

artgan's Introduction

Total Time: 6,340 hrs 21 mins

PHP                        2,261 hrs 34 mins>>>>>>>>>----------------   35.01 %
JavaScript                 2,099 hrs 15 mins>>>>>>>>-----------------   32.49 %
Blade Template             734 hrs 6 mins  >>>----------------------   11.36 %
HTML                       239 hrs 6 mins  >------------------------   03.70 %
SCSS                       203 hrs 52 mins >------------------------   03.16 %
JSON                       173 hrs 24 mins >------------------------   02.68 %
Solidity                   160 hrs 19 mins >------------------------   02.48 %
Other                      119 hrs 58 mins -------------------------   01.86 %
Bash                       72 hrs 48 mins  -------------------------   01.13 %
YAML                       50 hrs 14 mins  -------------------------   00.78 %


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